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Awesome Scalability: A Comprehensive Guide to Building Scalable Systems

A brief introduction to the project: The Awesome Scalability project on GitHub is a curated list of resources, articles, and case studies that focuses on one of the most critical aspects of software engineering - building and maintaining scalable systems. Scalability refers to the ability of a system to handle

Angel-ML: An Open-Source Machine Learning Library for Efficient Distributed Machine Learning

A brief introduction to the project: The Angel-ML project is an open-source machine learning library that focuses on providing efficient distributed machine learning capabilities. It is a collaborative effort by a team of developers and researchers who aim to make machine learning accessible and efficient for large-scale data processing. With

Riemann: An Open-Source Monitoring System - A Comprehensive Guide

A brief introduction to the project: Riemann is an open-source monitoring system that collects and aggregates data streams and events in real-time. It was designed to help engineers and system administrators monitor and analyze the performance and behavior of their systems. Riemann offers a flexible and scalable solution to monitor